Enhancement of Image Classification via GIS

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F63468352%3A_____%2F15%3A%230000445" target="_blank" >RIV/63468352:_____/15:#0000445 - isvavai.cz</a>
Alternative codes found
RIV/00216305:26110/15:PU118300
Result on the web
<a href="http://dx.doi.org/10.1166/asl.2015.6563" target="_blank" >http://dx.doi.org/10.1166/asl.2015.6563</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1166/asl.2015.6563" target="_blank" >10.1166/asl.2015.6563</a>

Result language
angličtina
Original language name
Enhancement of Image Classification via GIS
Original language description
The enhancement of image classification using tools of geographic information systems (GIS) is topic of this paper. Theoretical solutions are based on the theory of rough sets. Improved results are achieved by filtration of added layer with clearly defined classes and also by manually editing in GIS. The proposed method was tested in the project of data analysis of storage of gas facilities under certain types of terrain surface in the Czech Republic (CR). Processing was carried out in ArcGIS 10.0 environment via special created application in Python. The results demonstrated the effectiveness of this process and the reducing of the error rate to 2% - 3 %.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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